TY - GEN
T1 - Towards content-aware SPARQL query caching for semantic web applications
AU - Shu, Yanfeng
AU - Compton, Michael
AU - Müller, Heiko
AU - Taylor, Kerry
PY - 2013
Y1 - 2013
N2 - Applications are increasingly using triple stores as persistence backends, and accessing large amounts of data through SPARQL endpoints. To improve query performance, this paper presents an approach that reuses results of cached queries in a content-aware way for answering subsequent queries. With a focus on a common class of conjunctive SPARQL queries with filter conditions, not only does the paper provide an efficient method for testing whether a query can be evaluated on the result of a cached query, but it also shows how to evaluate the query. Experimental results show the effectiveness of the approach.
AB - Applications are increasingly using triple stores as persistence backends, and accessing large amounts of data through SPARQL endpoints. To improve query performance, this paper presents an approach that reuses results of cached queries in a content-aware way for answering subsequent queries. With a focus on a common class of conjunctive SPARQL queries with filter conditions, not only does the paper provide an efficient method for testing whether a query can be evaluated on the result of a cached query, but it also shows how to evaluate the query. Experimental results show the effectiveness of the approach.
UR - http://www.scopus.com/inward/record.url?scp=84887448469&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-41230-1_27
DO - 10.1007/978-3-642-41230-1_27
M3 - Conference contribution
SN - 9783642412295
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 320
EP - 329
BT - Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings
T2 - 14th International Conference on Web Information Systems Engineering, WISE 2013
Y2 - 13 October 2013 through 15 October 2013
ER -